workload data

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Published By: IBM     Published Date: Apr 16, 2014
DB2 BLU By Other Databases And More Wayne Kernochan, Infostructure Associates September 2013 Analyst Wayne Kernochan of Infostructure Associates documents the analytics speed-up capability of DB2 with BLU Acceleration and explains how DB2 BLU compares with competitors. His conclusion after reviewing test results? ""Not surprisingly, the results verified a consistent, roughly order-of-magnitude speedup using BLU Acceleration, against DB2 pre-BLU and against some obvious competitors ..."". What is his advice to readers about DB2 BLU? ""... if your upcoming database needs are analytics/BI/reporting-related, why would you not use BLU Acceleration for them? In other words, what are you waiting for?
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ibm, ibm db2, blu acceleration, acceleration, database solution, workload, configuration, testing, database management, query
    
IBM
Published By: IBM     Published Date: May 02, 2014
These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse.
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ibm, big data platform, architecting big data, analytics, intelligent business strategies, data complexity, data types, workload growth, workload complexity, big data analytic applications, operational decisions, multi-structured data, querying data, scalable data management, analytical ecosystem, hadoop solutions
    
IBM
Published By: Dell     Published Date: Aug 16, 2013
"Virtualization has changed the data center dynamic from static to fluid. While workloads used to be confined to the hardware on which they were installed, workloads today flow from host to host based on administrator-defined rules, as well as in reaction to changes in the host environment. The fluidic nature of the new data center has brought challenges to resource allocation; find out how your organization can stay ahead of the curve. Read the White Paper"
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best practices, cpu, memory, storage, vsphere, virtual
    
Dell
Published By: IBM     Published Date: Jan 22, 2016
IBM® DB2® is a multi-workload database software that improves business agility and reduces cost by better managing your company's core asset - data. Let's explore which edition of DB2 is the best fit for your needs.
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IBM
Published By: Cisco     Published Date: Jul 11, 2016
Today's datacenter networks must better adapt to and accommodate business-critical application workloads. Datacenters will have to increasingly adapt to virtualized workloads and to the ongoing enterprise transition to private and hybrid clouds. Pressure will mount on datacenters not only to provide increased bandwidth for 3rd Platform applications such as cloud and data analytics but also to deliver the agility and dynamism necessary to accommodate shifting traffic patterns (with more east-west traffic associated with server-to-server flows, as opposed to the traditional north-south traffic associated with client/server computing). Private cloud and legacy applications will also drive daunting bandwidth and connectivity requirements. This Technology Spotlight examines the increasing bandwidth requirements in enterprise datacenters, driven by both new and old application workloads, cloud and noncloud in nature. It also looks at how Cisco is meeting the bandwidth challenge posed by 3rd
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Cisco
Published By: IBM     Published Date: Jan 02, 2014
The data center is challenged. Many midsize businesses simply do not have designated personnel to care for their data center; they have only a standard room to host the company server and storage infrastructure and have no luxury to expand. In short, they must work within their constrained space.
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ibm, virtualization, midsized businesses, consolidation, optimize virtualization, workload management, automation, increase innovation, improve performance, cost control, it budgets, market demands, data center, infrastructure, company server, business applications, strategic plans, business environment, improve effectiveness, competitive position
    
IBM
Published By: IBM     Published Date: Mar 20, 2014
IBM SmartCloud Workload Automation is a sophisticated, cloud-enabled solution that unifies disparate applications and business processes to help organizations achieve superior efficiency and availability while leveraging the flexibility and scalability of cloud computing.
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ibm, ibm software, optimize workloads, the cloud, cloud computing, big data, data management, data center, workload automation, automation solutions, boost visibility, automate processes, it organizations, smart computing, change management, workload management, ease management, optimize processes
    
IBM
Published By: Cisco     Published Date: Sep 15, 2015
Walk past your data center, and you might hear a soft, plaintive call: “Feed me, feed me…” It is not your engineers demanding more pizza. It is your servers and applications. And the call is growing louder. Mobile and virtualized workloads, cloud applications, big data, heterogeneous devices: they are all growing in your business, demanding previously unimagined capacity and performance from your servers and data center fabric. And that demand is not slacking. Your employees, applications, and competitive advantage increasingly depend on it. Those servers and applications need to be fed. And if you have not started planning for 40 gigabits per second (Gbps) to the server rack, you will need to soon.
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applications, systems integration, cloud, development
    
Cisco
Published By: Cisco     Published Date: Sep 16, 2015
Today's datacenter networks must better adapt to and accommodate business-critical application workloads. Datacenters will have to increasingly adapt to virtualized workloads and to the ongoing enterprise transition to private and hybrid clouds.
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applications, systems integration, cloud, development
    
Cisco
Published By: Cisco     Published Date: Dec 21, 2016
Today's datacenter networks must better adapt to and accommodate business-critical application workloads. Datacenters will have to increasingly adapt to virtualized workloads and to the ongoing enterprise transition to private and hybrid clouds. Pressure will mount on datacenters not only to provide increased bandwidth for 3rd Platform applications such as cloud and data analytics but also to deliver the agility and dynamism necessary to accommodate shifting traffic patterns (with more east-west traffic associated with server-to-server flows, as opposed to the traditional north-south traffic associated with client/server computing). Private cloud and legacy applications will also drive daunting bandwidth and connectivity requirements. This Technology Spotlight examines the increasing bandwidth requirements in enterprise datacenters, driven by both new and old application workloads, cloud and noncloud in nature. It also looks at how Cisco is meeting the bandwidth challenge posed by 3rd
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Cisco
Published By: Internap     Published Date: Dec 02, 2014
NoSQL databases are now commonly used to provide a scalable system to store, retrieve and analyze large amounts of data. Most NoSQL databases are designed to automatically partition data and workloads across multiple servers to enable easier, more cost-effective expansion of data stores than the single server/scale up approach of traditional relational databases. Public cloud infrastructure should provide an effective host platform for NoSQL databases given its horizontal scalability, on-demand capacity, configuration flexibility and metered billing; however, the performance of virtualized public cloud services can suffer relative to bare-metal offerings in I/O intensive use cases. Benchmark tests comparing latency and throughput of operating a high-performance in-memory (flash-optimized), key value store NoSQL database on popular virtualized public cloud services and an automated bare-metal platform show performance advantages of bare-metal over virtualized public cloud, further quant
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internap, performance analysis, benchmarking, nosql, bare-metal, public cloud, infrastructure, on demand capacity
    
Internap
Published By: Lenovo and Intel®     Published Date: Aug 02, 2018
Having the right, scalable, IT systems to handle large compute workloads, while tapping into massive data sets, is critical to a project's success and even the success of your business. HPC solutions, powered by Intel® technology, offer greater value potential by combining the density of blade computing with the economics of rack-based systems. Learn how businesses like yours are using HPC technology to expand IT infrastructure, improve development, accelerate overall innovation, and stay on budget. Get the white paper.
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lenovo, intel, systems, technology
    
Lenovo and Intel®
Published By: IBM     Published Date: Apr 29, 2015
IBM InfoSphere BigInsights for Hadoop enables organizations to efficiently manage and mine large volumes of diverse data for valuable insights. IBM builds on a 100% Apache Hadoop foundation with common tools such as spreadsheets, R analytics and SQL access for greater usability.
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bigsheets, data management, business intelligence, workload optimization, data, sql
    
IBM
Published By: VMware     Published Date: Dec 15, 2016
Organizations that invest in proprietary applications and data for competitive advantage in their industries only succeed by making those investments available to employees, customers, and partners that drive revenue and opportunity. Securing those investments requires a fresh perspective as the types of devices accessing the cloud datacenter are changing rapidly and new workloads, such as VDI desktops, are appearing more regularly alongside server workloads. These changes alter the potential attacks and potential threats to datacenters whose security primarily stands firm at the perimeter, however, within the data center the security is weak. By combining VMware NSX with the AirWatch Tunnel and/or VMware Horizon View, organizations are able to bridge the device to datacenter security gap in a way that both increases the overall security of the cloud datacenter and makes it far simpler to manage security through defining and delegating application and services to specific users. Thi
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VMware
Published By: Juniper Networks     Published Date: Feb 18, 2015
Why do data centers need network automation? As application workloads are redefined, data centers must change. This IDC Whitepaper looks at how network automation and orchestration can aid this transition, building simpler and more agile networks.
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juniper, cloud, data center
    
Juniper Networks
Published By: ASG Software Solutions     Published Date: Jun 02, 2009
End-user expectations and high levels of performance against Service Level Agreements (SLAs) must be achieved or organizations risk the loss of business. This paper details key capabilities needed for successful end-user monitoring and provides critical considerations for delivering a successful end-user experience.
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asg, cmdb, bsm, itil, bsm, metacmdb, archiving, sap, ilm, mobius, it service management, itil, performance testing, sla, sla management services, testing, wla, visibility, configuration management, metadata
    
ASG Software Solutions
Published By: ASG Software Solutions     Published Date: Jun 15, 2009
ASG's Business Service Portfolio (BSP) Virtualization Management provides comprehensive oversight, inspections, discoveries, warnings, diagnostics, and reporting for the critical technology and administrative disciplines involved in virtual workload management. This is all done in parallel with physical systems management.
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asg, cmdb, bsm, itil, bsm, metacmdb, archiving, sap, ilm, mobius, workload automation, wla, visibility, configuration management, metadata, metacmdb, lob, sdm, service dependency mapping, ecommerce
    
ASG Software Solutions
Published By: Cisco     Published Date: Jan 15, 2015
While this dramatic growth occurs, projections call for the cloud to account for nearly two-thirds of data center traffic and for cloud-based workloads to quadruple over traditional servers. That adds another element to the picture: changing traffic patterns. Under a cloud model, a university, for example, can build its network to handle average traffic volumes but then offload data on heavier trafficked days to a public cloud service when demand dictates, such as when it’s time to register for the next semester of classes.
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cloud, growth, traffic, projection, account, network
    
Cisco
Published By: HP     Published Date: May 14, 2014
What worked in storage yesterday is not necessarily effective for today or tomorrow. Legacy storage is too complex and not well aligned with today’s business strategies and objectives. Many storage platforms are not up to the challenge of today’s unpredictable workloads and unconstrained data growth. They don’t offer the adaptability, agility and consolidated management capabilities IT requires, which means that IT needs a future-proof storage architecture. Learn about the next generation in storage.
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converged storage, legacy storage, future proof storage, storage, hp converged storage
    
HP
Published By: HP     Published Date: Sep 08, 2014
Every ten to fifteen years, the types of workloads servers host swiftly shift. This happened with the first single-mission mainframes and today, as disruptive technologies appear in the form of big data, cloud, mobility and security. When such a shift occurs, legacy servers rapidly become obsolete, dragging down enterprise productivity and agility. Fortunately, each new server shift also brings its own suite of enabling technologies, which deliver new economies of scale and entire new computational approaches. In this interview, long-time IT technologist Mel Beckman talks to HP Server CTO for ISS Americas Tim Golden about his take on the latest server shift, innovative enabling technologies such as software-defined everything, and the benefit of a unified management architecture. Tim discusses key new compute technologies such as HP Moonshot, HP BladeSystem, HP OneView and HP Apollo, as well as the superiority of open standards over proprietary architectures for scalable, cost-effect
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servers, innovative, management, mobility, security, computational, technologies, mainframes, cloud, productivity, workloads, big data
    
HP
Published By: HPE     Published Date: Aug 26, 2014
One thing is clear: the old way of running IT just won’t work in the new business environment.Truth is, preparing your IT department (and your company) to be agile, cost-efficient, metrics-driven, and flexible will require a change in how you operate. To support new business processes, you would do well to turn to a converged system, like HP ConvergedSystem for Virtualization. In this paper, we look at the greatest challenges faced by IT departments, and how traditional configurations, processes, and organizations are poorly-equipped to handle today’s workplace. We discuss the benefits of converged systems that are engineered to handle virtualized workloads. Finally, we look at HP ConvergedSystem for Virtualization as a simple and effective way for businesses to optimize their data center infrastructure and processes to better meet business needs.
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virtualization, data center, cloud, infrastructure, red hat, integrated, optimization, solution, public, private, business, converged, metrics-driven, cost-efficient
    
HPE
Published By: HPE     Published Date: Oct 07, 2014
So far, most data centers have virtualized their least-critical workloads as a matter of basic cost containment. Virtualizing mission-critical applications is still forthcoming for the majority,though, largely due to infrastructural concerns. Complicating matters is the shift in IT purchasing decisions from IT to business management. Integrated Computing Platforms (ICPs), private cloud computing, and public cloud services all leverage virtualization to achieve a number of IT and business goals, including increased ROI, reduced OpEx, and business process improvement. Now more than ever, it makes sense to explore the benefits of ICPs. Find expert data center considerations here.
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virtualization, data center, cloud, infrastructure, integrated, optimization, solution
    
HPE
Published By: Iron Mountain     Published Date: Apr 13, 2018
Watch this webinar replay featuring 451 Research’s Principal Analyst, Carl Lehmann, and Iron Mountain’s Technology Director, Don Davis, as they discuss a range of Cloud and Data Center topics.
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iron mountain, data center, data center management, cloud computing, workload management
    
Iron Mountain
Published By: IBM     Published Date: Dec 06, 2013
Partners and customers expect instantaneous response and continuous uptime from data systems, but the volume and velocity of data make it difficult to respond with agility. IBM PureData System for Transactions enable businesses to gear up and meet these challenges.
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ibm, ibm puredata system, data, data mangement, database, integration, transactions, workload, availability, data system
    
IBM
Published By: IBM     Published Date: Dec 06, 2013
Data workloads are rapidly evolving and changing. Today's enterprises have many different types of applications, with different usage patterns, all constantly accessing data. As a result, data services need to be more robust and scalable. IBM PureApplication System and IBM PureData™ System for Transactions are designed to meet these needs. This paper shows how the latest technology and expertise built into these systems gives businesses an innovative approach to rapidly create and manage highly scalable data services, without the complexity of traditional approaches.
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ibm, ibm puredata system, ibm pureapplication system, data, data center, data management, applications, workloads, data services, scalable, scalability, availability
    
IBM
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